Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.6 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUIPER Hennie | 69 |
| 3 | SERCU Patrick | 76 |
| 9 | RAAS Jan | 72 |
| 11 | GODEFROOT Walter | 73 |
| 13 | MAERTENS Freddy | 65 |
| 15 | MERCKX Eddy | 74 |
| 16 | DIERICKX André | 74 |
| 19 | DE VLAEMINCK Roger | 74 |
| 26 | KARSTENS Gerben | 74 |
| 29 | SWERTS Roger | 75 |
| 30 | POLLENTIER Michel | 62 |
| 31 | TSCHAN Jürgen | 68 |